Xuxi Chen
24 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Cross-Pollinator (9) π Conference Polyglot (8) π§ Keyword Pioneer π Renaissance Researcher (5)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(35)
π
Triple Crown
π€
Dynamic Duo
(20)
β
The Questioner
(2)
π
Century Club
(24)
ποΈ
Keyword Collector
(67)
π₯
Unstoppable
(6)
β‘
Prolific Year
(5)
Conferences
ICLR (8)
ICML (5)
NIPS (4)
ACL (2)
ECCV (2)
CVPR (1)
ICCV (1)
NAACL (1)
Top co-authors
Keywords
lottery ticket hypothesis
(6)
model compression
(4)
neural network pruning
(4)
network pruning
(3)
image classification
(3)
representation learning
(2)
sparse training
(2)
knowledge extraction
(1)
curriculum learning
(1)
image segmentation
(1)
transfer learning
(1)
object detection
(1)
binary classification
(1)
noisy label learning
(1)
knowledge distillation
(1)
knowledge transfer
(1)
self-supervised learning
(1)
robust classification
(1)
multi-task learning
(1)
vision transformer
(1)
Papers
Extracting and Understanding the Superficial Knowledge in Alignment
NAACL 2025
RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models
ACL 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
CVPR 2024
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality
ICLR 2024
Sparse MoE with Language Guided Routing for Multilingual Machine Translation
ICLR 2024
Is Attention All That NeRF Needs?
ICLR 2023
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models
ACL 2023
AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts
ICCV 2023
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
ICLR 2023
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
ICLR 2023
HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
ICLR 2023
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!
ICLR 2023
Learning to Optimize Differentiable Games
ICML 2023
DNA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment
ECCV 2022
Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models
ECCV 2022
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
ICML 2022
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation
NIPS 2022
Sparse Winning Tickets are Data-Efficient Image Recognizers
NIPS 2022
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership
NIPS 2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
NIPS 2021
Efficient Lottery Ticket Finding: Less Data is More
ICML 2021
GANs Can Play Lottery Tickets Too
ICLR 2021
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
ICML 2021
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
ICML 2020